Evaluation of false-twist textured yarns by image processing

Abstract

A new method has been introduced to determine the crimp features of false twist textured yarns by applying computer vision and image processing method. Hence, the test results, with accuracy, are achieved more quickly than by the other exciting method. The mean angle of filament orientation in false twist textured yarns with different texturizing variables (heater temperature, texturizing speed and twist) is determined. Similarly, the direct tracking algorithms to achieve a good correlation with crimp contraction are also used. The results show that by this new method a correlation coefficient of more than 95% is achieved between mean orientation angle and crimp contraction.